Geometry-Informed Data Representations
Workshop proceedings arising from the 1st-place Theory and Methods Challenge Fortnights award (£30,000). Explores geometry-informed representations of complex data, connecting …
anthony-baptista
Anthony Baptista
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1 min read
Zoo Guide to Network Embedding
A comprehensive review and guide to network embedding methods, covering spectral, random walk, deep learning, and geometric approaches, with a unified framework for comparison.
anthony-baptista
Universal Multilayer Network Exploration by Random Walk with Restart
📖 _Communications Physics_ · 2022 — A universal framework for multilayer network exploration using Random Walk with Restart, enabling the integration of heterogeneous biological …
anthony-baptista
Modèles multi-couches et méthodes d'exploration de réseaux biologiques
Multilayer models and exploration methods for biological networks. Developed new formalism of random walk with restart on multilayer networks, the MultiXrank Python package, and …
anthony-baptista
Microscopic origin of the scattering pre-peak in aqueous propylamine mixtures: X-Ray and Neutron experiments versus simulations
Combined X-ray, neutron scattering and molecular simulation study revealing the microscopic origin of the pre-peak in aqueous propylamine mixtures.
l.-almasy
Modeling micro-heterogeneity in mixtures: the role of many body correlations
We develop a theoretical framework for modelling micro-heterogeneity in liquid mixtures, examining the role of many-body correlations in determining mixture structure.
anthony-baptista